Pollutants from various anthropogenic sources contaminate the environment which in tum affects the ambient air quality. When general population gets exposed to these contaminant through contaminated air they would have adverse health effects. The objective of the project is to perform air quality assessment for a chemical manufacturing plant, located in Alberta (exact location is […]

The explosion of data from personal phones, apps, and sensors have enabled powerful machine learning algorithms to help computers identify, categorize, and evaluate information without the help of humans. However, teaching computers how to identify, categorize, and evaluate information usually requires feeding the computers a lot of data pre-labelled by humans. The pre-labelling process is […]

The research aims to examine the amount and type of microplastics in wastewater streams entering the Ottawa River. As wastewater treatment has been identified as one of the main conduits of microplastics to freshwater environments, the research will sample both wastewater effluent and combined sewer overflows to get a better understanding on how many, and […]

The climate conditions of outdoor urban spaces is strongly influenced by the form and materiality of surrounding buildings. Features as specific as balconies and different-coloured claddings can contribute to the temperatures felt by pedestrians in the immediate vicinity. This project aims to discover architectural features which improve outdoor thermal comfort during the shoulder seasons of […]

The main goal of the proposed work is to develop an ultra-thin and selective GO membrane capable of separating water vapor or steam from air. For this purpose, a suitable membrane supports required to hold the GO sheets. Therefore, the GO sheets will be deposited on various membrane supports and their performance in terms of […]

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

We propose to perform detailed studies that characterize chemically and biologically and the unaltered ancestral plant species of the Cannabis genus. Chemically, these studies will provide the chemotype profiles for each parental species for a spectrum of non-tetrahydrocannabinoid compounds. Biologically, these studies will provide the pharmacological profiles for each parental species. These data will enable […]

The research focuses on the crucial needs for the optimization of biofuel production process. It supports the Canadian energy and environment sectors which are seriously searching for more efficient process, targeting the increasing concern of the society with respect to the fossil fuel energy resources depletion and environmental footprints.

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]

Over the past few years Cannabis has gone through a revolution with respect to its applications to both the medical and recreational markets. For legal reasons, much Cannabis genetics has been hap hazard but now with legalization scientific approaches can be used to develop useful Cannabis strains for the industry. In this proposal, we will […]

Qubits are fundamental units for quantum computation. Photonics is a promising physical medium to realize large-scale quantum computation. One proposal to realize photonic qubits was proposed by Gottesman, Kitaev and Preskill (GKP). Here, the logical qubit is encoded into states of a bosonic mode or a quantum harmonic oscillator. It is expected that such a […]

Recent advancements in the study of large biological datasets coupled with powerful machine learning tools and new analytical technologies have opened up the ability to predict risks to health and possibly intervene before disease has manifested. Molecular You has developed a web based interface that integrates all these technologies into easy to understand visual health […]